Recent technological advancements have enabled the profiling of a large number of
genome-wide features in individual cells. However, single-cell data present unique …

Cellular heterogeneity is essential for the physiological functions of organisms, and precise
interpretation of the relevant biological mechanisms involved requires accurate …

Single cell metabolome analysis is essential for studying microscale life phenomena such
as neuronal networks and tumor microenvironments. Capillary electrophoresis–mass …

The profiling of the effector functions of single immune cells─ including cytokine secretion─
can lead to a deeper understanding of how the immune system operates and to potential …

Single-cell RNA sequencing is a valuable technique for identifying diverse cell subtypes. A
key challenge in this process is that the detection of rare cells is often missed by …

Single-cell and spatial transcriptomics have been widely used to characterize cellular
landscape in complex tissues. To understand cellular heterogeneity, one essential step is to …

Imbalanced datasets are abundant in several real-life classification problems where
Machine Learning (ML) finds its application. Such problems are characterised by classes …